Please use this identifier to cite or link to this item:
https://elibrary.tucl.edu.np/handle/123456789/20412
Title: | Predicting sentence using N-gram language model for Nepali language |
Authors: | K.C., Ananda |
Keywords: | Linguistic analysis;Nepali language |
Issue Date: | 2012 |
Publisher: | Department of Computer Science and Information Technology |
Institute Name: | Central Department of Computer Science and Information Technology |
Level: | Masters |
Abstract: | Sentence completion is a real time ubiquitous feature directed to predict a succeeding words sequence, an appropriate completion of a given initial text fragment. Sentence completion able a user to retrieve desired information with little knowledge over exact keywords and with least typing efforts. Under statistical method, this work will deal with N-gram method to predict the remaining part of sentence for Nepali language using Viterbi as a decoding algorithm. By analyzing the result of this work, Trigram Prediction Model is more accurate than Bigram Prediction Model. To get the best result, this work recommends taking a large corpus with sufficient repetition of words. |
URI: | https://elibrary.tucl.edu.np/handle/123456789/20412 |
Appears in Collections: | Computer Science & Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Full thesis.pdf | 1.93 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.